4 citations · 8 across the 8 of their papers we have counts for
8 papers
On the Benefits of Over-parameterization for Out-of-Distribution Generalization
Yifan Hao, Yong Lin, Difan Zou +1
In recent years, machine learning models have achieved success based on the independently and identically distributed assumption. However, this assumption can be easily violated in…
Language-Driven Visual Consensus for Zero-Shot Semantic Segmentation
Zicheng Zhang, Tong Zhang, Yi Zhu +4
The pre-trained vision-language model, exemplified by CLIP, advances zero-shot semantic segmentation by aligning visual features with class embeddings through a transformer decoder…
PerceptionGPT: Effectively Fusing Visual Perception into LLM
Renjie Pi, Lewei Yao, Jiahui Gao +2
The integration of visual inputs with large language models (LLMs) has led to remarkable advancements in multi-modal capabilities, giving rise to visual large language models (VLLM…
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation
Chen Zhao, Tong Zhang, Mathieu Salzmann
Prior methods that tackle the problem of generalizable object pose estimation highly rely on having dense views of the unseen object. By contrast, we address the scenario where onl…
A deep transfer learning network for structural condition identification with limited real-world training data
Nengxin Bao, Tong Zhang, Ruizhi Huang +3
Structural condition identification based on monitoring data is important for automatic civil infrastructure asset management. Nevertheless, the monitoring data is almost always in…
Customizing General-Purpose Foundation Models for Medical Report Generation
Bang Yang, Asif Raza, Yuexian Zou +1
Medical caption prediction which can be regarded as a task of medical report generation (MRG), requires the automatic generation of coherent and accurate captions for the given med…